borgstrm@lepton.eng.ohio-state.edu (Tom Borgstrom) (09/26/88)
I am interested in finding performance/capacity comparisons between neural networks that use discrete synaptic weights and those that use continuous valued weights. I have one reference: "The Capacity of the Hopfield Associative Memory", by R.J. McEliece, E.C. Posner, et al.; IEEE Transactions on Information Theory, Vol. IT-33, No. 4, July 1987. The authors claim to "only lose 19 percent of capacity by ... three level quantization." Is this true? Has anyone else done hardware/software simulations to verify this? Please reply by e-mail; I will post a summary if there is a large enough response. -=- Tom Borgstrom |borgstrm@icarus.eng.ohio-state.edu The Ohio State University|...!osu-cis!tut!icarus.eng.ohio-state.edu!borgstrm 2015 Neil Avenue | Columbus, Ohio 43210 |